{"Package":"datadogr","Type":"Package","Title":"R Client for 'Datadog' API","Version":"0.1.2","Authors@R":"person(\"Hiroaki\", \"Yutani\", , \"yutani.ini@gmail.com\", c(\"aut\", \"cre\"))","Description":"Query for metrics from 'Datadog' () via its API.","License":"MIT + file LICENSE","URL":"https://yutannihilation.github.io/K9","BugReports":"https://github.com/yutannihilation/K9/issues","Imports":"anytime, dplyr, glue, httr, lubridate, purrr, stringr, tidyr,\ntibble","Suggests":"rstudioapi, testthat, jsonlite","Encoding":"UTF-8","LazyData":"true","RoxygenNote":"6.0.1.9000","NeedsCompilation":"no","Packaged":"2018-05-17 11:35:51 UTC; hiroaki-yutani","Author":"Hiroaki Yutani [aut, cre]","Maintainer":"Hiroaki Yutani ","Repository":"CRAN","Date/Publication":"2018-05-17 16:42:07 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/datadogr_0.1.2.tar.gz","jsonAuthors":[{"name":"Hiroaki Yutani","email":"yutani.ini@gmail.com","maintainer":true}],"readme":"# datadogr\n\n[![Travis-CI Build Status](https://travis-ci.org/yutannihilation/K9.svg?branch=master)](https://travis-ci.org/yutannihilation/K9)\n[![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/yutannihilation/K9?branch=master&svg=true)](https://ci.appveyor.com/project/yutannihilation/K9)\n[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/datadogr)](https://cran.r-project.org/package=datadogr)\n\n## About\n\ndatadogr is a simple package for querying data from [Datadog](https://www.datadoghq.com/).\n\n## Installation\n\ndatadogr is on CRAN now. You can install the released version from CRAN:\n\n``` r\ninstall.packages(\"datadogr\")\n```\n\nOr the the development version from GitHub:\n\n``` r\n# install.packages(\"devtools\")\ndevtools::install_github(\"yutannihilation/K9\")\n```\n\n## Usage\n\n### Authentication\n\nYou must have an API key for Datadog to use APIs. Follow the instruction on the official document: http://docs.datadoghq.com/api/#authentication\n\ndatadogr package uses `DATADOG_API_KEY` environmental variable for the API key. You can set this by:\n\n* defining the environmental variables in `.Renviron` and restart R session.\n* inputting on the popup of `k9_auth()` interactively.\n\n### Get List of Metrics\n\n``` r\nk9_list_metrics()\n```\n\n### Get Metrics Values\n\nA query can be specified with `query` argument using a query string:\n\n```r\nk9_get_metrics(\n query = \"system.cpu.idle{role:db,environment:test}by{host,region}\",\n from = Sys.time() - 3600,\n to = Sys.time()\n)\n```\n\nOr, the same thing can be done with `metric`, `scope` and `by` separetely:\n\n```r\nk9_get_metrics(\n metric = \"system.cpu.idle\",\n scope = list(role = \"db\", environment = \"test\"),\n by = c(\"host\", \"region\"),\n from = Sys.time() - 3600,\n to = Sys.time()\n)\n```\n\nThe result will look like this:\n\n``` r\n#> # A tibble: 2 x 8\n#> timestamp value metric display_name query_index interval host\n#> * \n#> 1 2015-04-29 21:50:00 98.19376 system.cpu.idle system.cpu.idle 0 600 vagrant-ubuntu-trusty-64\n#> 2 2015-04-29 22:00:00 99.85857 system.cpu.idle system.cpu.idle 0 600 vagrant-ubuntu-trusty-64\n#> # ... with 3 more variables: environment , role , region , expression \n```\n\n### Get Events\n\n(This function is a but experimental.)\n\n``` r\nk9_get_events(start = Sys.Date() - 7, end = Sys.Date(), tags = list(role = \"db\"))\n```","jobInfo":{"package":"datadogr","version":"0.1.2","parsingStatus":"success","parserVersion":1,"parsedAt":"2018-05-17T19:29:59+0000"}}

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